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The purpose of this study was to establish the effects operational changes have on employee performance in Brand Design Development Limited. The study was guided by the following objectives: The first objective is to identify how scheduling affects employee performance in start-up companies in Kenya. The second objective is to assess how the use of software affects employee performance in start-up companies in Kenya. Last but not least, the third objective is to determine how leadership affects employee performance in start-up companies in Kenya.
The purpose of this study was to establish the effects operational changes have on employee performance in Brand Design Development Limited. The researcher will use descriptive survey research design in this study. Questionnaires were administered to employees. In this study, descriptive design of research was used to explain
the effect of operational change on the performance of employees at Brand Design
Development Limited. The population under study consisted of 50 staff members. The target population will be composed of The Operations Team, The Website and Applications Department, The Client Service Department, The Media Buying Department and The Social Media Department and The Creative Department.
Descriptive statistics measures such as mean and standard deviation were used to analyze the data, while inferential statistics, most especially correlation analysis was used to draw inferences about the population under study. During the study, data was analyzed using Statistical Package for Social Sciences (SPSS) program as a tool and presented using tables, graphs and charts.
The findings on the effects of scheduling on employee performance indicated that there was a statistically significant moderate correlation between scheduling and employee performance (r = 0.630, p < 0.001), implying that scheduling affects employee performance.
The findings on the effects of the use of software on employee performance indicated that there was a statistically significant moderate correlation between the use of software and employee performance (r = 0.689, p < 0.001), implying that the use of software affects employee performance.
The findings on the effects of leadership style on employee performance indicated that there was a statistically significant high correlation between leadership styles and employee |
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